From 39cc11a0cd078371c78c096a7b01da86a04a765a Mon Sep 17 00:00:00 2001 From: Heike Hofmann Date: Tue, 19 Nov 2024 11:08:58 -0600 Subject: [PATCH] slides for Nov 19 --- docs/index.html | 67 +-- docs/listings.json | 1 + docs/search.json | 373 ++++++++------- docs/slides/12-simulation-2.html | 777 +++++++++++++++++++++++++++++++ docs/syllabus.pdf | Bin 59079 -> 59079 bytes slides/12-simulation-2.qmd | 42 ++ 6 files changed, 1056 insertions(+), 204 deletions(-) create mode 100644 docs/slides/12-simulation-2.html create mode 100644 slides/12-simulation-2.qmd diff --git a/docs/index.html b/docs/index.html index 4ce5e39..b417b08 100644 --- a/docs/index.html +++ b/docs/index.html @@ -192,7 +192,7 @@

On this page

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    HW (13)
    Project (3)
    Slides (13)
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    HW (13)
    Project (3)
    Slides (14)
    @@ -278,7 +278,18 @@

    Course Materials

    Homework 11: Simulation (Probability) - + + +Nov 19, 2024 + + + + + +Simulation - now with results! + + + Nov 18, 2024 @@ -289,7 +300,7 @@

    Course Materials

    Homework 12: Shiny - + Nov 15, 2024 @@ -300,7 +311,7 @@

    Course Materials

    Homework 11: Simulation (Implementation) - + Nov 8, 2024 @@ -311,7 +322,7 @@

    Course Materials

    Homework 11: Simulation (Pseudocode) - + Nov 5, 2024 @@ -322,7 +333,7 @@

    Course Materials

    Simulation - + Nov 4, 2024 @@ -333,7 +344,7 @@

    Course Materials

    Homework 10: Professional Communication - + Oct 29, 2024 @@ -344,7 +355,7 @@

    Course Materials

    LaTeX and Markdown - + Oct 24, 2024 @@ -355,7 +366,7 @@

    Course Materials

    Debugging Excercises - + Oct 21, 2024 @@ -366,7 +377,7 @@

    Course Materials

    Homework: Awesomely Bad Graphics - + Oct 14, 2024 @@ -377,7 +388,7 @@

    Course Materials

    Homework: Murder in SQL City - + Oct 14, 2024 @@ -388,7 +399,7 @@

    Course Materials

    Project Guidelines - + Oct 14, 2024 @@ -399,7 +410,7 @@

    Course Materials

    Stat 850 Project Proposal - + Oct 8, 2024 @@ -410,7 +421,7 @@

    Course Materials

    Murder in SQL City - + Oct 7, 2024 @@ -421,7 +432,7 @@

    Course Materials

    String Processing and Data Wrangling in R and Python - + Oct 3, 2024 @@ -432,7 +443,7 @@

    Course Materials

    Wrangling Data - + Oct 1, 2024 @@ -443,7 +454,7 @@

    Course Materials

    Wrangling Data - + Sep 30, 2024 @@ -454,7 +465,7 @@

    Course Materials

    Chocolate Chip Cookies - + Sep 24, 2024 @@ -465,7 +476,7 @@

    Course Materials

    Exploring Data - + Sep 20, 2024 @@ -476,7 +487,7 @@

    Course Materials

    Homework: Data Programming - + Sep 17, 2024 @@ -487,7 +498,7 @@

    Course Materials

    Case Studies - + Sep 13, 2024 @@ -498,7 +509,7 @@

    Course Materials

    Homework: Fizzbuzz - + Sep 9, 2024 @@ -509,7 +520,7 @@

    Course Materials

    Homework: Finding Your Way in R and Python - + Sep 9, 2024 @@ -520,7 +531,7 @@

    Course Materials

    Fizzing and Buzzing - + Sep 5, 2024 @@ -531,7 +542,7 @@

    Course Materials

    Finding your way in R and Python - + Sep 3, 2024 @@ -542,7 +553,7 @@

    Course Materials

    Finding your way in R and Python - + Sep 2, 2024 @@ -553,7 +564,7 @@

    Course Materials

    đź‘‹ The Basics of GitHub - + Aug 29, 2024 @@ -564,7 +575,7 @@

    Course Materials

    Stat 850: Git and Github - + Aug 27, 2024 diff --git a/docs/listings.json b/docs/listings.json index 605dffd..d81a156 100644 --- a/docs/listings.json +++ b/docs/listings.json @@ -4,6 +4,7 @@ "items": [ "/project/report.html", "/homework/11c.html", + "/slides/12-simulation-2.html", "/homework/12.html", "/homework/11b.html", "/homework/11.html", diff --git a/docs/search.json b/docs/search.json index 97afa5e..4c93f27 100644 --- a/docs/search.json +++ b/docs/search.json @@ -280,165 +280,151 @@ "text": "In the following examples, evaluate each problem using the criteria of a minimal reproducible example from this StackOverflow post.\nSpecifically, address the following things:\n\nAre the question and problem description complete?\nIs the issue reproducible? Does it have a description of the problem, with code that reproduces the problem? What could improve it?\nIs the example minimal? Does it include extra code or information that is not necessary?\nDoes the question describe any attempted solutions?\n\nThen, using what you know about R and Python, try to debug the problem using the strategies in the debugging chapter. Once you are thoroughly stumped, or you believe you have solved the problem, compare your solutions to those given on StackOverflow using the link.\n\nWhy Doesn’t this R function work?\n\nI created the following function to append new strings on a vector of strings called “meals”. However, when I use this function to append an string input into my “meals” vector, it does not work.\n\n add <- function(str) {\n meals <- append(meals, as.character(str)) \n }\nLink to original SO post.\n\n\nFunction not working R\n\nI’ve never programmed before and am trying to learn. I’m following that “coursera” course that I’ve seen other people post about — a course offered by Johns Hopkins on R programming.\n\n\nAnyway, this was supposed to be my first function. Yet, it doesn’t work! But when I type out all the steps individually, it runs just fine… Can anyone tell me why?\n\npollutantmean <- function(directory, pollutant, id = 1:332){\n x<- list.files(\"/Users/mike******/Desktop/directory\", full.names=TRUE)\n y<- lapply(x, read.csv)\n z<- do.call(rbind.data.frame, y[id])\n\n mean(z$pollutant, na.rm=TRUE)\n}\npollutantmean(specdata,nitrate,1:10)\n[1] NA\nWarning message:\nIn mean.default(z$pollutant, na.rm = TRUE) :\n argument is not numeric or logical: returning NA\n\n####\n\nx<- list.files(\"/Users/mike******/Desktop/specdata\",full.names=TRUE)\ny<- lapply(x,read.csv)\nz<- do.call(rbind.data.frame,y[1:10])\nmean(z$nitrate,na.rm=TRUE)\n[1] 0.7976266\nLink\n\n\nInexplicable error when trying to export my R notebook\n\nGetting this error from R Markdown when trying to export my .RMD\n\n\"Error in filter(Gastropods, Species == \"Cellana\") : object 'Species' not found Calls: <Anonymous> ... withCallingHandlers -> withVisible -> eval -> eval -> filter\"\n\nHowever, all my plots are coming out successfully. I can clearly see in the data that the species column is there and that Cellana is a species. No spelling errors or anything.\n\n\nMy first 20 or so lines of code are below (between the ### symbols)\n\n\n\n###\n---\ntitle: \" Lab Report 2 - z5016113\"\noutput: html_notebook\ni---\n\n#1. Gastropod abundance vs. height on the shore\n\n```{r}\nGastropods <- read.csv(file = \"MaroubraZones.csv\", header = TRUE)\nlibrary(ggplot2, dplyr)\n```\n\n```{r}\nGastropods$Zone <- factor(Gastropods$Zone, levels = c(\"Low\", \"Mid\", \"High\"))\n```\n\n```{r}\nCellana <- filter(Gastropods, Species == \"Cellana\") ------> This line is causing the error\n```\n\n```{r}\nggplot(Cellana, aes(Zone, Abundance)) + geom_boxplot()\n```\n###\n\n\nYou can find this sample file here\nLink\n\n\nPython if elif else statement\n\nI’m trying to create a program with python that calculate the cost for shipping.\n\n\nHowever, I can’t run the program to where it works properly.\n\n\nWhat ever my total is the same amount comes out as $6 for US and $8 for Canada. I can’t seem to get pass that.\n\n\nExample:\n\ntotal = raw_input('What is the total amount for your online shopping?')\ncountry = raw_input('Shipping within the US or Canada?')\n\nif country == \"US\":\n if total <= \"50\":\n print \"Shipping Costs $6.00\"\n elif total <= \"100\":\n print \"Shipping Costs $9.00\"\n elif total <= \"150\":\n print \"Shipping Costs $12.00\"\n else:\n print \"FREE\"\n\nif country == \"Canada\":\n if total <= \"50\":\n print \"Shipping Costs $8.00\"\n elif total <= \"100\":\n print \"Shipping Costs $12.00\"\n elif total <= \"150\":\n print \"Shipping Costs $15.00\"\n else:\n print \"FREE\"\nLink" }, { - "objectID": "slides/11-simulation.html#homework-project-work", - "href": "slides/11-simulation.html#homework-project-work", - "title": "Simulation", - "section": "Homework & Project work", - "text": "Homework & Project work\n\ndue dates … some are harder than others.\n\nI realize that RStudio was freezing up … a lot. So this one is not as hard.\nGenerally: you can (re-)submit assignments. If they are egregiously late, I will deduct a late penalty.\nActually hard deadline: Monday after Thanksgiving, Dec 2 2024" + "objectID": "slides/12-simulation-2.html#todays-goals", + "href": "slides/12-simulation-2.html#todays-goals", + "title": "Simulation - now with results!", + "section": "Today’s Goals:", + "text": "Today’s Goals:\n\nWork on deliverable number 3 for homework 11: simulate!\nThree deliverables in total: pseudocode.qmd, craps-code.qmd, and simulation.qmd (this week)" }, { - "objectID": "slides/11-simulation.html#remainder-of-the-semester", - "href": "slides/11-simulation.html#remainder-of-the-semester", - "title": "Simulation", - "section": "Remainder of the semester", - "text": "Remainder of the semester\n\nOnly two more homework assignments!\n\nSimulation & interactive graphics\n\nProject work!\n\nhttps://posit.co/blog/closeread-prize-announcement/" + "objectID": "slides/12-simulation-2.html#simulate.qmd", + "href": "slides/12-simulation-2.html#simulate.qmd", + "title": "Simulation - now with results!", + "section": "Simulate.qmd", + "text": "Simulate.qmd\n\nIn your repo, create a file with that name.\nThere need to answer the following three questions:\n\nWhich probability do you want to estimate?\nWhat is the simulation result (in numbers and visuals)?\nWhat is the simulation variability?\n\n\nMake sure to set a seed to make your analysis reproducible." }, { - "objectID": "slides/11-simulation.html#this-weeks-big-picture-goal", - "href": "slides/11-simulation.html#this-weeks-big-picture-goal", - "title": "Simulation", + "objectID": "slides/12-simulation-2.html#resources", + "href": "slides/12-simulation-2.html#resources", + "title": "Simulation - now with results!", + "section": "Resources", + "text": "Resources\n\nR cheat sheet\npython cheat sheet" + }, + { + "objectID": "slides/07-murder.html#this-weeks-big-picture-goal", + "href": "slides/07-murder.html#this-weeks-big-picture-goal", + "title": "Murder in SQL City", "section": "This week’s big picture goal:", - "text": "This week’s big picture goal:\nBringing everything together - working on a project-like homework." + "text": "This week’s big picture goal:\nWorking with data filters, joining data" }, { - "objectID": "slides/11-simulation.html#todays-goals", - "href": "slides/11-simulation.html#todays-goals", - "title": "Simulation", + "objectID": "slides/07-murder.html#todays-goals", + "href": "slides/07-murder.html#todays-goals", + "title": "Murder in SQL City", "section": "Today’s Goals:", - "text": "Today’s Goals:\n\nIn Canvas, follow the Github Classroom link to Homework 11\nClone the repo for Homework 11 to your local machine\nThree deliverables in total: pseudocode.qmd (this week), craps-code.qmd, and simulation.qmd" + "text": "Today’s Goals:\n\nIn Canvas, follow the Github Classroom link to Homework 7\nClone the repo for Homework 7 to your local machine\nMake sure that you are able to render index.qmd\nYou might have to install the package RSQLite\n\nStart solving the murder … by … ahem, finding that crime report." }, { - "objectID": "slides/11-simulation.html#resources", - "href": "slides/11-simulation.html#resources", - "title": "Simulation", + "objectID": "slides/07-murder.html#resources", + "href": "slides/07-murder.html#resources", + "title": "Murder in SQL City", "section": "Resources", "text": "Resources\n\nR cheat sheet\npython cheat sheet" }, { - "objectID": "slides/06-data-wrangling.html#this-weeks-big-picture-goal", - "href": "slides/06-data-wrangling.html#this-weeks-big-picture-goal", - "title": "Wrangling Data", + "objectID": "slides/05-data-explorations.html#this-weeks-big-picture-goal", + "href": "slides/05-data-explorations.html#this-weeks-big-picture-goal", + "title": "Exploring Data", "section": "This week’s big picture goal:", - "text": "This week’s big picture goal:\nWorking with text and practicing exploration skills" + "text": "This week’s big picture goal:\nGetting comfortable working with data sets and start asking questions!" }, { - "objectID": "slides/06-data-wrangling.html#organization", - "href": "slides/06-data-wrangling.html#organization", - "title": "Wrangling Data", + "objectID": "slides/05-data-explorations.html#organization", + "href": "slides/05-data-explorations.html#organization", + "title": "Exploring Data", "section": "Organization", - "text": "Organization\nHomework #5:\n\nmake sure to put the link to your repo on Github into Canvas\nauthorization: usethis::create_github_token()\nwhich files to push? any original files!" + "text": "Organization\n\nHomework #4: make sure to put the link to your repo on Github into Canvas\nHomework #5:\nplease check that you can access the github classroom repo\nDr. Vanderplas will take over on Thursday" }, { - "objectID": "slides/06-data-wrangling.html#todays-goals", - "href": "slides/06-data-wrangling.html#todays-goals", - "title": "Wrangling Data", + "objectID": "slides/05-data-explorations.html#todays-goals", + "href": "slides/05-data-explorations.html#todays-goals", + "title": "Exploring Data", "section": "Today’s Goals:", - "text": "Today’s Goals:\n\nIn Canvas, follow the Github Classroom link to Homework 6\nClone the repo for Homework 6 to your local machine\nMake sure that you are able to render index.qmd\nStart wrangling these poems!\n\nTry to get past checkpoints 1 and 2 for both python and R, so you can focus on the exploration on Thursday" - }, - { - "objectID": "slides/06-data-wrangling.html#helpful-functions", - "href": "slides/06-data-wrangling.html#helpful-functions", - "title": "Wrangling Data", - "section": "Helpful functions", - "text": "Helpful functions\n\nin R: separate_longer_delim, str_count (make sure to check ?boundary()),\nin python: str.split, str.count, explode" + "text": "Today’s Goals:\n\nClone the repo for Homework 5\nMake sure that you are able to render index.qmd\nStart to explore! https://www.mrdbourke.com/a-gentle-introduction-to-exploratory-data-analysis/" }, { - "objectID": "slides/06-data-wrangling.html#resources", - "href": "slides/06-data-wrangling.html#resources", - "title": "Wrangling Data", + "objectID": "slides/05-data-explorations.html#resources", + "href": "slides/05-data-explorations.html#resources", + "title": "Exploring Data", "section": "Resources", "text": "Resources\n\nR cheat sheet\npython cheat sheet" }, { - "objectID": "slides/04-case-studies.html#organization", - "href": "slides/04-case-studies.html#organization", - "title": "Case Studies", - "section": "Organization", - "text": "Organization\n\nHomework #3: make sure to put the link to your repo on Github into Canvas\nHomework #4:\nplease check that you can access the github classroom repo\nHeads-up: watch 1h video before next class: tidy tuesday screencast" + "objectID": "slides/03-fizzing-and-buzzing.html#organizationclean-up", + "href": "slides/03-fizzing-and-buzzing.html#organizationclean-up", + "title": "Fizzing and Buzzing", + "section": "Organization/clean-up", + "text": "Organization/clean-up\n\nHomework #2: make sure to put the link to your repo on Github into Canvas\nHomework #3 repo structure" }, { - "objectID": "slides/04-case-studies.html#this-weeks-big-picture-goal", - "href": "slides/04-case-studies.html#this-weeks-big-picture-goal", - "title": "Case Studies", + "objectID": "slides/03-fizzing-and-buzzing.html#this-weeks-big-picture-goal", + "href": "slides/03-fizzing-and-buzzing.html#this-weeks-big-picture-goal", + "title": "Fizzing and Buzzing", "section": "This week’s big picture goal:", - "text": "This week’s big picture goal:\nConsolidate your knowledge\nChapter 15\nPractice! Practice! Practice!" + "text": "This week’s big picture goal:\nGoing from using functions to writing the first functions" }, { - "objectID": "slides/04-case-studies.html#todays-goals", - "href": "slides/04-case-studies.html#todays-goals", - "title": "Case Studies", + "objectID": "slides/03-fizzing-and-buzzing.html#todays-goals", + "href": "slides/03-fizzing-and-buzzing.html#todays-goals", + "title": "Fizzing and Buzzing", "section": "Today’s Goals:", - "text": "Today’s Goals:\n\nClone the repo for Homework 4\nMake sure that you are able to render index.qmd\n\nyou might have to install some packages (R package curl, python package plotnine)\n\nRead actively through the examples in Chapter 15\n\nload the data from the homework into an R session\nadapt (if possible) the commands from the examples to the homework data" + "text": "Today’s Goals:\nUnderstand\n\nWorking with packages in R and Python\nDistinguish and recognize data structures (data as in objects, not the statistics data)\nMatrix operations\n\nDo\n\nfirst part of homework #3\n\nRead-up on\n\nControl Structures, program flows\nWriting Functions" }, { - "objectID": "slides/04-case-studies.html#resources", - "href": "slides/04-case-studies.html#resources", - "title": "Case Studies", + "objectID": "slides/03-fizzing-and-buzzing.html#resources", + "href": "slides/03-fizzing-and-buzzing.html#resources", + "title": "Fizzing and Buzzing", "section": "Resources", "text": "Resources\n\nR cheat sheet\npython cheat sheet" }, { - "objectID": "slides/04-case-studies.html#next-class", - "href": "slides/04-case-studies.html#next-class", - "title": "Case Studies", + "objectID": "slides/03-fizzing-and-buzzing.html#next-class", + "href": "slides/03-fizzing-and-buzzing.html#next-class", + "title": "Fizzing and Buzzing", "section": "Next class", - "text": "Next class\n\nPlanning out code" + "text": "Next class\n\nFunction writing in R and Python" }, { - "objectID": "slides/02b-Finding-Your-Way.html#todays-goals", - "href": "slides/02b-Finding-Your-Way.html#todays-goals", + "objectID": "slides/02a-Finding-Your-Way.html#todays-goals", + "href": "slides/02a-Finding-Your-Way.html#todays-goals", "title": "Finding your way in R and Python", "section": "Today’s Goals:", - "text": "Today’s Goals:\nUnderstand\n\nBasic Data Types\nCreating Variables\nUsing R/Python as a calculator\n\nPractice working with errors\n\nIntro to Debugging" + "text": "Today’s Goals:\n\nKnow the 3 different ways to execute code from within RStudio\n\nTerminal (Command Line)\nSource Script (RStudio Button)\nInteractive Mode (line by line)\n\nDifferentiate between the Console and the Terminal\nDifferentiate between R and Python in the Console" }, { - "objectID": "slides/02b-Finding-Your-Way.html#work-on-the-homework", - "href": "slides/02b-Finding-Your-Way.html#work-on-the-homework", + "objectID": "slides/02a-Finding-Your-Way.html#rstudio-projects", + "href": "slides/02a-Finding-Your-Way.html#rstudio-projects", "title": "Finding your way in R and Python", - "section": "Work on the homework!", - "text": "Work on the homework!\nDue date: Monday, Sep 9" + "section": "RStudio Projects", + "text": "RStudio Projects\nRStudio projects are a way to keep your work organized.\nLet’s create one for this week’s class work.\n\nCreating an RStudio Project" }, { - "objectID": "slides/02b-Finding-Your-Way.html#next-class", - "href": "slides/02b-Finding-Your-Way.html#next-class", + "objectID": "slides/02a-Finding-Your-Way.html#ways-to-execute-code", + "href": "slides/02a-Finding-Your-Way.html#ways-to-execute-code", "title": "Finding your way in R and Python", - "section": "Next class", - "text": "Next class\n\nData structures: vectors, lists, arrays, …\nArithmetic operators for matrices\nFunction writing in R and Python" - }, - { - "objectID": "slides/01b-intro.html#goals-for-today", - "href": "slides/01b-intro.html#goals-for-today", - "title": "Stat 850: Git and Github", - "section": "Goals for Today", - "text": "Goals for Today\n\nSet up Git (Chapter 5 of the textbook)\nHow to submit homework with Github Classroom\nGit concepts: Push/Pull" - }, - { - "objectID": "slides/01b-intro.html#preview-next-week", - "href": "slides/01b-intro.html#preview-next-week", - "title": "Stat 850: Git and Github", - "section": "Preview: Next Week", - "text": "Preview: Next Week\n\nFinding your way in R and Python\n\nNavigating RStudio\nExecution modes: script, console, interactive\nPython vs. R code\n\nIntroduction to Programming" + "section": "Ways to Execute Code", + "text": "Ways to Execute Code\nDownload madlibs.py and place it in your newly created project." }, { - "objectID": "slides/01b-intro.html#reminders", - "href": "slides/01b-intro.html#reminders", - "title": "Stat 850: Git and Github", - "section": "Reminders", - "text": "Reminders\n\nHomework due Monday at 8pm\nRead the assigned chapters in the textbook (7, 8) for class next week!" + "objectID": "slides/02a-Finding-Your-Way.html#command-line", + "href": "slides/02a-Finding-Your-Way.html#command-line", + "title": "Finding your way in R and Python", + "section": "Command Line", + "text": "Command Line\n\nRunning madlibs.py at the command line" }, { - "objectID": "about.html", - "href": "about.html", - "title": "About Stat 850", - "section": "", - "text": "Course Description\nIntroductions to statistical computing packages and document preparation software. Topics include: graphical techniques, data management, Monte Carlo simulation, dynamic document preparation, presentation software.\n\n\nCourse Goals\n\nLearn how to use R and/or Python for data analysis, data processing, and data visualization.\nBecome familiar with the process, techniques, and goals of exploratory data analysis.\nCreate, assess, and debug code effectively.\n\nUse online resources to find software to perform a task, comparing approaches taken by competing programs.\nRead error messages, find related problems in online forums, and isolate the conditions necessary to generate the error.\nGenerate minimum working examples or reproducible examples of errors in order to ask for help effectively.\n\nCommunicate statistical results using reproducible, dynamic tools. Understand the importance of reproducibility in scientific computation.\n\n\n\nCourse Objectives\n(what you should be able to do at the end of this course)\n\nClean and format the data appropriately for the intended analysis or visualization method. (Goals: 1)\nExplore a data set using numerical and visual summaries, developing questions which can be answered using statistics. (Goals: 1, 2)\nEvaluate methods or software to assess relevance to a problem. Compare similar options to determine which are more appropriate for a given application (Goals: 1, 3)\nTest and debug software, using the following sequence: (Goals: 3, 4)\n\nReproduce the error in a new environment,\nCreate a minimal reproducible example,\nResearch the error message and evaluate online resources for relevance,\nAsk for help, describing the error or problem appropriately.\n\nDocument the data, methods, and results of an analysis using reproducible methods. (Goals: 1, 2, 4)\n\n\n\nTextbook\nIn keeping with the principles of this course, any course materials I develop will be made available on GitHub, in the (continuously evolving) course textbook. The book is laid out with the same structure as the course. In order to avoid duplicating content available elsewhere, where it is appropriate, I will link to relevant material available on other sites. This makes the course easier to maintain, but it also ensures you get the most relevant and up to date instructions.\nIn addition, you may find it useful to reference some of the following resources that I have consulted while assembling the textbook. Most are available online for free, though some require an institutional email address.\n\nR for Data Science\nAdvanced R\nPython for Everybody\nPython for Data Analysis *\nPython Data Science Handbook *\n\n* Available online for free if you register with your UNL email address." + "objectID": "slides/02a-Finding-Your-Way.html#source-script", + "href": "slides/02a-Finding-Your-Way.html#source-script", + "title": "Finding your way in R and Python", + "section": "Source Script", + "text": "Source Script\n\nRunning madlibs.py using Source Script in RStudio" }, { - "objectID": "index.html", - "href": "index.html", - "title": "Stat 850: Computing Tools for Statistics", - "section": "", - "text": "Course Materials\nDates shown are due dates (for homework, projects) and dates by which initial comments/annotations should be made (reading).\nMost classes will not contain slide presentations, but when there are slides to share, they will be provided here.\n\n\n \n \n \n Order By\n Default\n \n Date - Oldest\n \n \n Date - Newest\n \n \n Title\n \n \n \n \n \n \n \n\n\n\n\n\nDate\n\n\n\n\nTitle\n\n\n\n\n\n\nDec 8, 2024\n\n\n\n\n\nSample Report\n\n\n\n\nNov 25, 2024\n\n\n\n\n\nHomework 11: Simulation (Probability)\n\n\n\n\nNov 18, 2024\n\n\n\n\n\nHomework 12: Shiny\n\n\n\n\nNov 15, 2024\n\n\n\n\n\nHomework 11: Simulation (Implementation)\n\n\n\n\nNov 8, 2024\n\n\n\n\n\nHomework 11: Simulation (Pseudocode)\n\n\n\n\nNov 5, 2024\n\n\n\n\n\nSimulation\n\n\n\n\nNov 4, 2024\n\n\n\n\n\nHomework 10: Professional Communication\n\n\n\n\nOct 29, 2024\n\n\n\n\n\nLaTeX and Markdown\n\n\n\n\nOct 24, 2024\n\n\n\n\n\nDebugging Excercises\n\n\n\n\nOct 21, 2024\n\n\n\n\n\nHomework: Awesomely Bad Graphics\n\n\n\n\nOct 14, 2024\n\n\n\n\n\nHomework: Murder in SQL City\n\n\n\n\nOct 14, 2024\n\n\n\n\n\nProject Guidelines\n\n\n\n\nOct 14, 2024\n\n\n\n\n\nStat 850 Project Proposal\n\n\n\n\nOct 8, 2024\n\n\n\n\n\nMurder in SQL City\n\n\n\n\nOct 7, 2024\n\n\n\n\n\nString Processing and Data Wrangling in R and Python\n\n\n\n\nOct 3, 2024\n\n\n\n\n\nWrangling Data\n\n\n\n\nOct 1, 2024\n\n\n\n\n\nWrangling Data\n\n\n\n\nSep 30, 2024\n\n\n\n\n\nChocolate Chip Cookies\n\n\n\n\nSep 24, 2024\n\n\n\n\n\nExploring Data\n\n\n\n\nSep 20, 2024\n\n\n\n\n\nHomework: Data Programming\n\n\n\n\nSep 17, 2024\n\n\n\n\n\nCase Studies\n\n\n\n\nSep 13, 2024\n\n\n\n\n\nHomework: Fizzbuzz\n\n\n\n\nSep 9, 2024\n\n\n\n\n\nHomework: Finding Your Way in R and Python\n\n\n\n\nSep 9, 2024\n\n\n\n\n\nFizzing and Buzzing\n\n\n\n\nSep 5, 2024\n\n\n\n\n\nFinding your way in R and Python\n\n\n\n\nSep 3, 2024\n\n\n\n\n\nFinding your way in R and Python\n\n\n\n\nSep 2, 2024\n\n\n\n\n\n👋 The Basics of GitHub\n\n\n\n\nAug 29, 2024\n\n\n\n\n\nStat 850: Git and Github\n\n\n\n\nAug 27, 2024\n\n\n\n\n\nStat 850 Introduction\n\n\n\n\n\nNo matching items" + "objectID": "slides/02a-Finding-Your-Way.html#next-class", + "href": "slides/02a-Finding-Your-Way.html#next-class", + "title": "Finding your way in R and Python", + "section": "Next Class", + "text": "Next Class\n\nBasic Data Types\nCreating Variables\nUsing R/Python as a calculator\nIntro to Debugging" }, { "objectID": "slides/01a-intro.html#goals-for-today", @@ -462,128 +448,163 @@ "text": "Reminders\n\nHomework due Monday at 8pm" }, { - 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now with results!\n\n\n\n\nNov 18, 2024\n\n\n\n\n\nHomework 12: Shiny\n\n\n\n\nNov 15, 2024\n\n\n\n\n\nHomework 11: Simulation (Implementation)\n\n\n\n\nNov 8, 2024\n\n\n\n\n\nHomework 11: Simulation (Pseudocode)\n\n\n\n\nNov 5, 2024\n\n\n\n\n\nSimulation\n\n\n\n\nNov 4, 2024\n\n\n\n\n\nHomework 10: Professional Communication\n\n\n\n\nOct 29, 2024\n\n\n\n\n\nLaTeX and Markdown\n\n\n\n\nOct 24, 2024\n\n\n\n\n\nDebugging Excercises\n\n\n\n\nOct 21, 2024\n\n\n\n\n\nHomework: Awesomely Bad Graphics\n\n\n\n\nOct 14, 2024\n\n\n\n\n\nHomework: Murder in SQL City\n\n\n\n\nOct 14, 2024\n\n\n\n\n\nProject Guidelines\n\n\n\n\nOct 14, 2024\n\n\n\n\n\nStat 850 Project Proposal\n\n\n\n\nOct 8, 2024\n\n\n\n\n\nMurder in SQL City\n\n\n\n\nOct 7, 2024\n\n\n\n\n\nString Processing and Data Wrangling in R and Python\n\n\n\n\nOct 3, 2024\n\n\n\n\n\nWrangling Data\n\n\n\n\nOct 1, 2024\n\n\n\n\n\nWrangling Data\n\n\n\n\nSep 30, 2024\n\n\n\n\n\nChocolate Chip Cookies\n\n\n\n\nSep 24, 2024\n\n\n\n\n\nExploring Data\n\n\n\n\nSep 20, 2024\n\n\n\n\n\nHomework: Data Programming\n\n\n\n\nSep 17, 2024\n\n\n\n\n\nCase Studies\n\n\n\n\nSep 13, 2024\n\n\n\n\n\nHomework: Fizzbuzz\n\n\n\n\nSep 9, 2024\n\n\n\n\n\nHomework: Finding Your Way in R and Python\n\n\n\n\nSep 9, 2024\n\n\n\n\n\nFizzing and Buzzing\n\n\n\n\nSep 5, 2024\n\n\n\n\n\nFinding your way in R and Python\n\n\n\n\nSep 3, 2024\n\n\n\n\n\nFinding your way in R and Python\n\n\n\n\nSep 2, 2024\n\n\n\n\n\n👋 The Basics of GitHub\n\n\n\n\nAug 29, 2024\n\n\n\n\n\nStat 850: Git and Github\n\n\n\n\nAug 27, 2024\n\n\n\n\n\nStat 850 Introduction\n\n\n\n\n\nNo matching items" }, { - 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Topics include: graphical techniques, data management, Monte Carlo simulation, dynamic document preparation, presentation software.\n\n\nCourse Goals\n\nLearn how to use R and/or Python for data analysis, data processing, and data visualization.\nBecome familiar with the process, techniques, and goals of exploratory data analysis.\nCreate, assess, and debug code effectively.\n\nUse online resources to find software to perform a task, comparing approaches taken by competing programs.\nRead error messages, find related problems in online forums, and isolate the conditions necessary to generate the error.\nGenerate minimum working examples or reproducible examples of errors in order to ask for help effectively.\n\nCommunicate statistical results using reproducible, dynamic tools. Understand the importance of reproducibility in scientific computation.\n\n\n\nCourse Objectives\n(what you should be able to do at the end of this course)\n\nClean and format the data appropriately for the intended analysis or visualization method. (Goals: 1)\nExplore a data set using numerical and visual summaries, developing questions which can be answered using statistics. (Goals: 1, 2)\nEvaluate methods or software to assess relevance to a problem. Compare similar options to determine which are more appropriate for a given application (Goals: 1, 3)\nTest and debug software, using the following sequence: (Goals: 3, 4)\n\nReproduce the error in a new environment,\nCreate a minimal reproducible example,\nResearch the error message and evaluate online resources for relevance,\nAsk for help, describing the error or problem appropriately.\n\nDocument the data, methods, and results of an analysis using reproducible methods. (Goals: 1, 2, 4)\n\n\n\nTextbook\nIn keeping with the principles of this course, any course materials I develop will be made available on GitHub, in the (continuously evolving) course textbook. The book is laid out with the same structure as the course. In order to avoid duplicating content available elsewhere, where it is appropriate, I will link to relevant material available on other sites. This makes the course easier to maintain, but it also ensures you get the most relevant and up to date instructions.\nIn addition, you may find it useful to reference some of the following resources that I have consulted while assembling the textbook. Most are available online for free, though some require an institutional email address.\n\nR for Data Science\nAdvanced R\nPython for Everybody\nPython for Data Analysis *\nPython Data Science Handbook *\n\n* Available online for free if you register with your UNL email address." }, { - "objectID": "slides/02a-Finding-Your-Way.html#ways-to-execute-code", - "href": "slides/02a-Finding-Your-Way.html#ways-to-execute-code", - "title": "Finding your way in R and Python", - "section": "Ways to Execute Code", - "text": "Ways to Execute Code\nDownload madlibs.py and place it in your newly created project." + "objectID": "slides/01b-intro.html#goals-for-today", + "href": "slides/01b-intro.html#goals-for-today", + "title": "Stat 850: Git and Github", + "section": "Goals for Today", + "text": "Goals for Today\n\nSet up Git (Chapter 5 of the textbook)\nHow to submit homework with Github Classroom\nGit concepts: Push/Pull" }, { - "objectID": "slides/02a-Finding-Your-Way.html#command-line", - "href": "slides/02a-Finding-Your-Way.html#command-line", + "objectID": "slides/01b-intro.html#preview-next-week", + "href": "slides/01b-intro.html#preview-next-week", + "title": "Stat 850: Git and Github", + "section": "Preview: Next Week", + "text": "Preview: Next Week\n\nFinding your way in R and Python\n\nNavigating RStudio\nExecution modes: script, console, interactive\nPython vs. R code\n\nIntroduction to Programming" + }, + { + "objectID": "slides/01b-intro.html#reminders", + "href": "slides/01b-intro.html#reminders", + "title": "Stat 850: Git and Github", + "section": "Reminders", + "text": "Reminders\n\nHomework due Monday at 8pm\nRead the assigned chapters in the textbook (7, 8) for class next week!" + }, + { + "objectID": "slides/02b-Finding-Your-Way.html#todays-goals", + "href": "slides/02b-Finding-Your-Way.html#todays-goals", "title": "Finding your way in R and Python", - "section": "Command Line", - "text": "Command Line\n\nRunning madlibs.py at the command line" + "section": "Today’s Goals:", + "text": "Today’s Goals:\nUnderstand\n\nBasic Data Types\nCreating Variables\nUsing R/Python as a calculator\n\nPractice working with errors\n\nIntro to Debugging" }, { - "objectID": "slides/02a-Finding-Your-Way.html#source-script", - "href": "slides/02a-Finding-Your-Way.html#source-script", + "objectID": "slides/02b-Finding-Your-Way.html#work-on-the-homework", + "href": "slides/02b-Finding-Your-Way.html#work-on-the-homework", "title": "Finding your way in R and Python", - "section": "Source Script", - "text": "Source Script\n\nRunning madlibs.py using Source Script in RStudio" + "section": "Work on the homework!", + "text": "Work on the homework!\nDue date: Monday, Sep 9" }, { - "objectID": "slides/02a-Finding-Your-Way.html#next-class", - "href": "slides/02a-Finding-Your-Way.html#next-class", + "objectID": "slides/02b-Finding-Your-Way.html#next-class", + "href": "slides/02b-Finding-Your-Way.html#next-class", "title": "Finding your way in R and Python", - "section": "Next Class", - "text": "Next Class\n\nBasic Data Types\nCreating Variables\nUsing R/Python as a calculator\nIntro to Debugging" + "section": "Next class", + "text": "Next class\n\nData structures: vectors, lists, arrays, …\nArithmetic operators for matrices\nFunction writing in R and Python" }, { - "objectID": "slides/03-fizzing-and-buzzing.html#organizationclean-up", - "href": "slides/03-fizzing-and-buzzing.html#organizationclean-up", - "title": "Fizzing and Buzzing", - "section": "Organization/clean-up", - "text": "Organization/clean-up\n\nHomework #2: make sure to put the link to your repo on Github into Canvas\nHomework #3 repo structure" + "objectID": "slides/04-case-studies.html#organization", + "href": "slides/04-case-studies.html#organization", + "title": "Case Studies", + "section": "Organization", + "text": "Organization\n\nHomework #3: make sure to put the link to your repo on Github into Canvas\nHomework #4:\nplease check that you can access the github classroom repo\nHeads-up: watch 1h video before next class: tidy tuesday screencast" }, { - "objectID": "slides/03-fizzing-and-buzzing.html#this-weeks-big-picture-goal", - "href": "slides/03-fizzing-and-buzzing.html#this-weeks-big-picture-goal", - "title": "Fizzing and Buzzing", + "objectID": "slides/04-case-studies.html#this-weeks-big-picture-goal", + "href": "slides/04-case-studies.html#this-weeks-big-picture-goal", + "title": "Case Studies", "section": "This week’s big picture goal:", - "text": "This week’s big picture goal:\nGoing from using functions to writing the first functions" + "text": "This week’s big picture goal:\nConsolidate your knowledge\nChapter 15\nPractice! Practice! Practice!" }, { - "objectID": "slides/03-fizzing-and-buzzing.html#todays-goals", - "href": "slides/03-fizzing-and-buzzing.html#todays-goals", - "title": "Fizzing and Buzzing", + "objectID": "slides/04-case-studies.html#todays-goals", + "href": "slides/04-case-studies.html#todays-goals", + "title": "Case Studies", "section": "Today’s Goals:", - "text": "Today’s Goals:\nUnderstand\n\nWorking with packages in R and Python\nDistinguish and recognize data structures (data as in objects, not the statistics data)\nMatrix operations\n\nDo\n\nfirst part of homework #3\n\nRead-up on\n\nControl Structures, program flows\nWriting Functions" + "text": "Today’s Goals:\n\nClone the repo for Homework 4\nMake sure that you are able to render index.qmd\n\nyou might have to install some packages (R package curl, python package plotnine)\n\nRead actively through the examples in Chapter 15\n\nload the data from the homework into an R session\nadapt (if possible) the commands from the examples to the homework data" }, { - "objectID": "slides/03-fizzing-and-buzzing.html#resources", - "href": "slides/03-fizzing-and-buzzing.html#resources", - "title": "Fizzing and Buzzing", + "objectID": "slides/04-case-studies.html#resources", + "href": "slides/04-case-studies.html#resources", + "title": "Case Studies", "section": "Resources", "text": "Resources\n\nR cheat sheet\npython cheat sheet" }, { - "objectID": "slides/03-fizzing-and-buzzing.html#next-class", - "href": "slides/03-fizzing-and-buzzing.html#next-class", - "title": "Fizzing and Buzzing", + "objectID": "slides/04-case-studies.html#next-class", + "href": "slides/04-case-studies.html#next-class", + "title": "Case Studies", "section": "Next class", - "text": "Next class\n\nFunction writing in R and Python" + "text": "Next class\n\nPlanning out code" }, { - "objectID": "slides/05-data-explorations.html#this-weeks-big-picture-goal", - "href": "slides/05-data-explorations.html#this-weeks-big-picture-goal", - "title": "Exploring Data", + "objectID": "slides/06-data-wrangling.html#this-weeks-big-picture-goal", + "href": "slides/06-data-wrangling.html#this-weeks-big-picture-goal", + "title": "Wrangling Data", "section": "This week’s big picture goal:", - "text": "This week’s big picture goal:\nGetting comfortable working with data sets and start asking questions!" + "text": "This week’s big picture goal:\nWorking with text and practicing exploration skills" }, { - "objectID": "slides/05-data-explorations.html#organization", - "href": "slides/05-data-explorations.html#organization", - "title": "Exploring Data", + "objectID": "slides/06-data-wrangling.html#organization", + "href": "slides/06-data-wrangling.html#organization", + "title": "Wrangling Data", "section": "Organization", - "text": "Organization\n\nHomework #4: make sure to put the link to your repo on Github into Canvas\nHomework #5:\nplease check that you can access the github classroom repo\nDr. Vanderplas will take over on Thursday" + "text": "Organization\nHomework #5:\n\nmake sure to put the link to your repo on Github into Canvas\nauthorization: usethis::create_github_token()\nwhich files to push? any original files!" }, { - "objectID": "slides/05-data-explorations.html#todays-goals", - "href": "slides/05-data-explorations.html#todays-goals", - "title": "Exploring Data", + "objectID": "slides/06-data-wrangling.html#todays-goals", + "href": "slides/06-data-wrangling.html#todays-goals", + "title": "Wrangling Data", "section": "Today’s Goals:", - "text": "Today’s Goals:\n\nClone the repo for Homework 5\nMake sure that you are able to render index.qmd\nStart to explore! https://www.mrdbourke.com/a-gentle-introduction-to-exploratory-data-analysis/" + "text": "Today’s Goals:\n\nIn Canvas, follow the Github Classroom link to Homework 6\nClone the repo for Homework 6 to your local machine\nMake sure that you are able to render index.qmd\nStart wrangling these poems!\n\nTry to get past checkpoints 1 and 2 for both python and R, so you can focus on the exploration on Thursday" }, { - "objectID": "slides/05-data-explorations.html#resources", - "href": "slides/05-data-explorations.html#resources", - "title": "Exploring Data", + "objectID": "slides/06-data-wrangling.html#helpful-functions", + "href": "slides/06-data-wrangling.html#helpful-functions", + "title": "Wrangling Data", + "section": "Helpful functions", + "text": "Helpful functions\n\nin R: separate_longer_delim, str_count (make sure to check ?boundary()),\nin python: str.split, str.count, explode" + }, + { + "objectID": "slides/06-data-wrangling.html#resources", + "href": "slides/06-data-wrangling.html#resources", + "title": "Wrangling Data", "section": "Resources", "text": "Resources\n\nR cheat sheet\npython cheat sheet" }, { - "objectID": "slides/07-murder.html#this-weeks-big-picture-goal", - "href": "slides/07-murder.html#this-weeks-big-picture-goal", - "title": "Murder in SQL City", + "objectID": "slides/11-simulation.html#homework-project-work", + "href": "slides/11-simulation.html#homework-project-work", + "title": "Simulation", + "section": "Homework & Project work", + "text": "Homework & Project work\n\ndue dates … some are harder than others.\n\nI realize that RStudio was freezing up … a lot. So this one is not as hard.\nGenerally: you can (re-)submit assignments. If they are egregiously late, I will deduct a late penalty.\nActually hard deadline: Monday after Thanksgiving, Dec 2 2024" + }, + { + "objectID": "slides/11-simulation.html#remainder-of-the-semester", + "href": "slides/11-simulation.html#remainder-of-the-semester", + "title": "Simulation", + "section": "Remainder of the semester", + "text": "Remainder of the semester\n\nOnly two more homework assignments!\n\nSimulation & interactive graphics\n\nProject work!\n\nhttps://posit.co/blog/closeread-prize-announcement/" + }, + { + "objectID": "slides/11-simulation.html#this-weeks-big-picture-goal", + "href": "slides/11-simulation.html#this-weeks-big-picture-goal", + "title": "Simulation", "section": "This week’s big picture goal:", - "text": "This week’s big picture goal:\nWorking with data filters, joining data" + "text": "This week’s big picture goal:\nBringing everything together - working on a project-like homework." }, { - "objectID": "slides/07-murder.html#todays-goals", - "href": "slides/07-murder.html#todays-goals", - "title": "Murder in SQL City", + "objectID": "slides/11-simulation.html#todays-goals", + "href": "slides/11-simulation.html#todays-goals", + "title": "Simulation", "section": "Today’s Goals:", - "text": "Today’s Goals:\n\nIn Canvas, follow the Github Classroom link to Homework 7\nClone the repo for Homework 7 to your local machine\nMake sure that you are able to render index.qmd\nYou might have to install the package RSQLite\n\nStart solving the murder … by … ahem, finding that crime report." + "text": "Today’s Goals:\n\nIn Canvas, follow the Github Classroom link to Homework 11\nClone the repo for Homework 11 to your local machine\nThree deliverables in total: pseudocode.qmd (this week), craps-code.qmd, and simulation.qmd" }, { - "objectID": "slides/07-murder.html#resources", - "href": "slides/07-murder.html#resources", - "title": "Murder in SQL City", + "objectID": "slides/11-simulation.html#resources", + "href": "slides/11-simulation.html#resources", + "title": "Simulation", "section": "Resources", "text": "Resources\n\nR cheat sheet\npython cheat sheet" }, diff --git a/docs/slides/12-simulation-2.html b/docs/slides/12-simulation-2.html new file mode 100644 index 0000000..6abc28b --- /dev/null +++ b/docs/slides/12-simulation-2.html @@ -0,0 +1,777 @@ + + + + + + + + + + + + + + Stat 850: Computing Tools for Statisticians – Simulation - now with results! + + + + + + + + + + + + + + + + + + +
    +
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    Simulation - now with results!

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    2024-11-19

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    Today’s Goals:

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    • Work on deliverable number 3 for homework 11: simulate!

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    • Three deliverables in total: pseudocode.qmd, craps-code.qmd, and simulation.qmd (this week)

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    Simulate.qmd

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    • In your repo, create a file with that name.

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    • There need to answer the following three questions:

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      1. Which probability do you want to estimate?
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      2. What is the simulation result (in numbers and visuals)?
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      3. What is the simulation variability?
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    Make sure to set a seed to make your analysis reproducible.

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    Resources

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    + + + + + + + + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/docs/syllabus.pdf b/docs/syllabus.pdf index 3dfe4b8aa915bf91981ae4d459fbc4dbcb8e9355..0b86706c5c7c3428fb748f8805d571b9030f4c3e 100644 GIT binary patch delta 107 zcmX?pmihQu<_*HP*)0tX4a`goCQIFxfw4E+-VWq+b}@B!G&V3YH8(P~1hQNmjonNw aEL@!p4UEi;olH#Z6l@47*?jTIH%0)4RUP;M delta 107 zcmX?pmihQu<_*HP*^La%O-u|eCQIFxfw4E+-VWq+HgYm?b~1EzwlFd?Ha9mnH8FBD burxGxGqf}_HFP#Mw^Ohoq-68OC*K$WfSet^ diff --git a/slides/12-simulation-2.qmd b/slides/12-simulation-2.qmd new file mode 100644 index 0000000..06ce75f --- /dev/null +++ b/slides/12-simulation-2.qmd @@ -0,0 +1,42 @@ +--- +title: "Simulation - now with results!" +date: "2024-11-19" +categories: Slides +format: + revealjs: + theme: default +--- + +## Today's Goals: + +- Work on deliverable number 3 for homework 11: simulate! + + +- Three deliverables in total: `pseudocode.qmd`, `craps-code.qmd`, and `simulation.qmd` (this week) + +---- + +## `Simulate.qmd` + +- In your repo, create a file with that name. + +- There need to answer the following three questions: + + 1. Which probability do you want to estimate? + 2. What is the simulation result (in numbers and visuals)? + 3. What is the simulation variability? + +Make sure to set a seed to make your analysis reproducible. + +---- + +## Resources + +- [R cheat sheet](https://srvanderplas.github.io/stat-computing-r-python/files/Short-refcard.pdf) + +- [python cheat sheet](https://srvanderplas.github.io/stat-computing-r-python/files/Python3_reference_cheat_sheet.pdf) + + + + +